What makes something an “AI agent” – and how do you build one that does more than just sound impressive in a demo? I’m Nico Finelli, Founding Go-To-Market Member at Vellum. Starting in machine learning, I’ve consulted for Fortune 500s, worked at Weights & Biases during the LLM boom, and now I help companies get…
According to recent Cisco research, it’s projected that by 2028, 68% of all customer service and support interactions with tech vendors will be handled by agentic AI. This makes sense, as 93% of respondents in the same study predict that a more personalized, predictive, and proactive service will be possible with agentic AI. Agentic AI…
Catch up on every session from the AIAI Silicon Valley with sessions across 3 co-located summit featuring the likes of Anthropic, Open AI, Meta and many more.
Unlike traditional AI systems that rely on step-by-step human input, agentic AI represents the next evolution: autonomous agents capable of ingesting information, executing tasks, and independently delivering end-to-end outcomes. These agents can undertake multistep processes, linking APIs, databases, and workflows, to tackle complex problems without constant oversight. As businesses aim to streamline operations and cut…
Rise of Autonomous Coding Agents in System Software Debugging The use of AI in software development has gained traction with the emergence of large language models (LLMs). These models are capable of performing coding-related tasks. This shift has led to the design of autonomous coding agents that assist or even automate tasks traditionally carried out…